Author Graph Generation based on Author Disambiguation

On co-authorship for author disambiguation

Author name disambiguation deals with clustering the same-name authors into different individuals. To attack the problem, many studies have employed a variety of disambiguation features such as coauthors, titles of papers/publications, topics of articles, emails/affiliations, etc. Among these, co-authorship is the most easily accessible and influential, since inter-person acquaintances represen...

Merging error analysis of name disambiguation based on author similarity

Falsely identifying different authors as one is called merging error in the name disambiguation of coauthorship networks. Research on the measurement and distribution of merging errors helps to collect high quality coauthorship networks. In the aspect of measurement, we provide a Bayesian model to measure the errors through author similarity. We illustratively use the model and coauthor similar...

Author Name Disambiguation for PubMed

Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries, we designed an author name disambiguation system consisting of similarity estimation and agglomerative clustering. A machine-learning method was e...

Author name disambiguation: What difference does it make in author-based citation analysis?

In this paper, we explore how strongly author name disambiguation (AND) affects the results of an author-based citation analysis study, and identify conditions under which the commonly used simplified approach of using surnames and first initials may suffice in practice. We compare author citation ranking and co-citation mapping results in the stem cell research field 2004-2009 between two AND ...

Author Index